Multi-objective early-stage design of automotive hybrid assembly lines

被引:3
|
作者
Colledani, M. [1 ]
Bolognese, L. [2 ]
Ceglarek, D. [3 ]
Franchini, F. [4 ]
Marine, C. [5 ]
Mistry, A. [6 ]
机构
[1] Politecn Milan, Via Masa I, I-20157 Milan, Italy
[2] Comau, I-10095 Turin, Italy
[3] Univ Warwick, WMG, Int Mfg Ctr, Coventry CV4 7AL, W Midlands, England
[4] Enginesoft, I-50127 Florence, Italy
[5] Stadco Ltd, Telford TF1 7LL, Shrops, England
[6] Jaguar Land Rover, Halewood, Merseyside, England
基金
英国工程与自然科学研究理事会;
关键词
Assembly; Automotive; Remote Laser Welding; System Design; Optimization;
D O I
10.1016/j.procir.2015.04.021
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Hybrid assembly lines include multiple assembly technologies, such as RSW (Resistance Spot Welding) and RLW (Remote Laser Welding). The early-stage design of these automotive assembly lines is a critical, multi-objective task. The design process is typically carried out in industry by continuous iterations between the process design department and the simulation and systems engineering department. This results in a time consuming and cost-inefficient procedure. This paper presents a novel approach and a software platform to support the early stage design of hybrid assembly lines. It relies on the integration of a Process Concept Generator and a System Configuration Module, which is based on analytical performance evaluation models, thus drastically reducing the overall time and cost of the design procedure. The effectiveness of the proposed approach in industrial settings is shown by a real door assembly line in the automotive industry, analyzed within the EU FP7 funded project RLW Navigator. (C) 2014 The Authors. Published by Elsevier B.V.
引用
下载
收藏
页码:125 / 130
页数:6
相关论文
共 50 条
  • [21] A new optimization strategy for multi-objective design of automotive seat frame
    Dai, Chenxu
    Wang, Xiaocui
    Long, Jiangqi
    STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2023, 66 (11)
  • [22] A new optimization strategy for multi-objective design of automotive seat frame
    Chenxu Dai
    Xiaocui Wang
    Jiangqi Long
    Structural and Multidisciplinary Optimization, 2023, 66
  • [23] Design and assembly of DNA molecules using multi-objective optimization
    Gaeta, Angelo
    Zulkower, Valentin
    Stracquadanio, Giovanni
    SYNTHETIC BIOLOGY, 2021, 6 (01)
  • [24] Multi-objective Optimization of multi-mixed-model assembly lines sequencing problem
    Li, Zhi
    Jiang, Zhaoliang
    MECHATRONICS AND INDUSTRIAL INFORMATICS, PTS 1-4, 2013, 321-324 : 2110 - 2115
  • [25] Multi-objective search in the early phase of architectural design
    Echenagucia, T. Mendez
    Sassone, M.
    Croset, P. A.
    Astolfi, A.
    STRUCTURES AND ARCHITECTURE: CONCEPTS: APPLICATIONS AND CHALLENGES, 2013, : 1129 - 1134
  • [26] OPTIMAL BUFFER ALLOCATION FOR SEMI-SYNCHRONIZED AUTOMOTIVE ASSEMBLY LINES USING SIMULATION-BASED MULTI-OBJECTIVE OPTIMIZATION
    Bernedixen, Jacob
    Ng, Amos H. C.
    ISC'2011: 9TH INTERNATIONAL INDUSTRIAL SIMULATION CONFERENCE, 2011, : 129 - 135
  • [27] A hybrid genetic algorithm approach on multi-objective of assembly planning problem
    Chen, RS
    Lu, KY
    Yu, SC
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2002, 15 (05) : 447 - 457
  • [28] Sequencing the reconfigurable assembly line with a hybrid multi-objective genetic algorithm
    Yuan Minghai
    Xu Huanmin
    MATERIALS SCIENCE AND ENGINEERING APPLICATIONS, PTS 1-3, 2011, 160-162 : 1545 - 1550
  • [29] A preference-based multi-objective building performance optimization method for early design stage
    Borong Lin
    Hongzhong Chen
    Yanchen Liu
    Qiushi He
    Ziwei Li
    Building Simulation, 2021, 14 : 477 - 494
  • [30] A preference-based multi-objective building performance optimization method for early design stage
    Lin, Borong
    Chen, Hongzhong
    Liu, Yanchen
    He, Qiushi
    Li, Ziwei
    BUILDING SIMULATION, 2021, 14 (03) : 477 - 494